.. title: PAR Class 27, Mon 2019-04-22
.. slug: class27
.. date: 2019-04-22
.. tags: class
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Final presentations
-------------------------------

#. Mon

   #. SP
   #. AJ
   #. ER
   #. ZJ
      
#. Thu

   #. AG
   #. JG
   #. SM
   #. ZC
   #. HH
   #. ZL
   #. HB
   #. BM
   #. KS
   #. JC


Term project
------------

#. Details are in the `syllabus <../syllabus/#term-project>`_, except that your talk is 10 minutes, not 15, and you're not required to demo it.

#. You may base your paper on my 2018 Fall Workshop on Computational Geometry paper `here <../../sample.zip>`_.   Or, you may use any other, equally formal, style.

#. Please hand everything in by the end of the weekend.   Putting everything on parallel might be easiest, in a dir named **project**.  Then email me.

      

Course recap
------------

#. My teaching style is to work from particulars to the general.

#. You've seen **OpenMP**, a tool for shared memory parallelism.

#. You've seen the architecture of NVidia's GPU, a widely used parallel system, and **CUDA**, a tool for programming it.

#. You've seen **Thrust**, a tool on top of CUDA, built in the C++ STL style.

#. You've seen **quantum computing**, both the theory and programming IBM's quantum computer.
   
#. You've seen how widely used numerical tools like **BLAS** and **FFT** have versions built on CUDA.

#. You've had a chance to program in all of them on **parallel.ecse**,  with dual 14-core Xeons, **Pascal** NVidia board

#. You seen talks by leaders in high performance computing, such as Jack Dongarra.

#. You've seen quick references to parallel programming using  Matlab, Mathematica, and the cloud.

#. Now, you can inductively reason towards general design rules for shared and non-shared parallel computers, and for the SW tools to exploit them.


	      
Course survey
-------------

If you liked the course, then please officially tell RPI by
completing the survey.  Thanks.